AMZNAmazon.com Inc
5Bull0Bear24Mention
Serenity @aleabitoreddit
Focused on AI photonics and semiconductor supply chains — sourcing asymmetric setups from bottoms-up value-chain research. Tracks CPO & optical modules closely, with ongoing deep-dives on SIVE, AAOI, LITE, POET.
Quick verdict
AMZN is net bullish (5 bull · 0 bear)
Named as an investor in Agility Robotics, which is poised to benefit from surging demand for humanoid robotics companies.
Last spoke: 08/24/2026, 11:35 · conviction 4/10
8-10 confidence views use larger markers▲ Bull▼ Bear● Mention
View History (29, newest first)
- $XPEV carves out its robotics unit and raises >$900M at $6.3B+ valuations. This is following’s Unitree IPO, which now has a ~$35-$36B MC. Then there’s $NVDA / $AMZN backed Agility… at a $2.5B premoney valuation. Which I’d argue is actually further ahead in commercialization than Xpeng. Regardless, humanoids + physical AI sector funding is really taking off.
- $MRVL gives $GOOGL options to buy $12.2B of the company. "The Marvell-Google deal covers a broad range of technologies used with TPUs, including processors that run AI models, manage data storage and move information across networks." Which could translate into ~$120 billion in revenue through 2033. Marvell also has separate warrants with $AMZN after their Celestial acquisition (for purchases of photonic fabric). Remember the good times when Jensen said Marvell would be the next $1T+ company? Seems Nvidia knew Marvell was "networking" its way into all the hyperscalers with warrants.
- Unitree (688836) is now public. And is valued at ~$53.3B, after rising +492.18% We finally have a major public company benchmark for humanoids. For reference, Agility (backed by $NVDA, $AMZN) via $CCXI is expected to go public at $2.5B premoney valuation Q4. $TSLA is $1T+, but Optimus is wrapped inside a much larger company. But I think Unitree showed that the demand for pure play humanoid players is much larger… than people expected in public markets.
- @tRbW6qAUT717891 I can't buy A-Shares, so I'm sticking with US markets. Agility via $CCXI( $NVDA, $AMZN, Softbank backed) is my personal exposure to humanoids. But I'm cheering on everyone who won the lottery for Unitree shares.
- uhhh... the Unitree IPO is more than 8000 times oversubscribed by retail investors. The demand for pure play humanoid companies is absolutely enormous? I'm personally in the US-based Agility Robotics club (Softbank, $NVDA, $AMZN, Foxconn, etc), at $2.5B premoney via $CCXI. And my take is that Unitree likely opening at $30B+ (from pre-ipo perps), might bring the leading US players some more attention in a week or two. Regardless that's just absurd demand.
- Today I'm writing a weekend guide on how to do DD when shorting $NBIS: First, you look at hyperscaler earnings for AI cloud read through: > $GOOGL: reports record AI cloud demand + backlog + margin increases from earnings > $AMZN: reports record AI Cloud demand + backlog + margin increases from earnings > $META: reports higher than expected prices for available capacity from earnings. Now, time to look at Nebius: -> $NBIS: Growing hundreds of percent to $7-9B ARR by Q4. Growing margins, and guided 4GW+ contracted power. -> Sees Uber/Waymo splitting, putting more focus on Avride -> Sees Clickhouse growing rapidly every quarter. Okay looks bad! But next, you need a hedge? -> Wow! A $NIKE brand executive, after the stock dropped 75% over the past 5 years, went to $LULU to save that brand next? Lululemon seems good. Conclusion: Short Nebius and go long on $LULU
- As a earnings recap: $AMZN, $META, $GOOGL, and $MSFT guided a 2026 combined capex forecast to ~$720-$745 Billion. Up from $695-$725B Billion previously. Amazon: $220B Google: $195B-$205B Meta: $130B-$145B Microsoft: $175B We've already seen significant deleveraging and retail/institutional margin liquidations (maybe it continues for more time, who knows). But medium-long term, I'm not quite sure how anyone can be bearish the upstream semis or neoclouds. Given each hyperscaler has flagged either compute shortages, rising cloud demand + pricing power, or increased spending for chips/networking. My "bottleneck" thesis with many of these upstream semi supply chains is that when trillions in capital flows into things from InP substrates or memory (which were both treated as cheap commodities) or even energy. Lot of these current AI names that were treated as useless before in telecom cycles or even toilet sellers. Gets rerated when their inflection period hits and capex flows into their balance sheets. As seen with $NVDA GPUs past few years, memory this year, CPUs/MLCCs next few years, CPO in 2027, Glass Substrates in 2027, 800V in 2027, and so on.
- Just a TLDR of this week: Media: Hyperscalers overbuilt and are selling excess compute. -> $GOOGL, $MSFT, $META, and $AMZN: Demand for compute far exceeds capacity. Capex go brrr. Institutions: Emergency rate hike or 3x rate hikes, it's all over. -> Kevin Warsh: No rate Hike. Retail/Media: AI is crashing because it's a bubble. -> Citadel looking to buy AI leveraged hedge funds positions: 👀 Jim Cramer: Sell all your leveraged DC stocks. -> Koreans: SK Hynix +30%, Samsung +26.81%
- $AAPL looks to acquire AI chip companies for running AI (Source: The Information) Right now, $MSFT, $META, Amazon, Google are carrying AI capex spend. But what if Apple joined the others after M&A? A possible scenario is that they revise capex largely upward for their own AI buildout. Since they probably witnessed Google cutting off Meta from compute constraints... or what happens when you partner with OpenAI for LLMs. Then learned how important it is to have your own infrastructure. This scenario would be quite bullish thematically from optical networking to foundries and something markets would not expect? We'll see what happens.
- Regarding $AMZN RNG + OpenAI’s MRC and VCSELs. In what appears to be an indirect response on B. Riley's $AAOI sell report regarding optimizations that "flattens networks and cuts transceiver TAM 40-50%". Rosenblatt TLDR: They've already modeled for this, even though each XPU may use fewer transceivers. The number of XPUs is growing so quickly that total optical demand should still rise. On lasers architectures for CPO: VCSELs are useful as a credible bridge for NPO/short reach. Ideal architecture though for CPO is UHP CW over other lasers, and cites Broadcom for that statements. Which happens to supports my core $SIVE thesis. I feel like Rosenblatt and I share the same views on a lot of things, I like the way they roll.
- Literally just Elon. - The guy + $SPCX is basically the only reason why US is in the lead with Space. - $TSLA led EV commercialization in US He's sometimes off with timeframes, but right directionally, so pretty sure he can make US robotics #1 again. I personally own $CCXI though since I think Agility currently has more pure play exposure for mass production/commercialization through US supply chains + $MELI/ $AMZN.
- It’s interesting to witness psychology around valuation anchoring + scarcity. Retail, for example, are buying Figure, last valued at ~$39B through CEFs… At $158B, since it’s private, round 4x valuations. Then Agility Robotics $CCXI, which has broader commercialization. Is at ~$4.3B pre-money and publicly available before the name change. At closer pricing that $AMZN, $NVDA, SoftBank, and Foxconn vaulted it at. Yet some end up paying 4-5x prices of already hiked private investor rounds for exposure… I’m convinced if Agility raised a very small private round at $39B as well from $2.5B (which it definitely could), to set a valuation anchor. Investors would be foaming in the mouth for a private allocation, just due to psychology rather than underlying fundamentals. We’ve also seen this anchoring with $SPCX recently at $1.75T. Peak market inefficiency? Or lack of knowledge from retail?
- Yep, $AMZN looks like the clear winner in physical AI shift. I think the Amazon ecosystem... is probably going to the catalyst for robotics players compared to others in the Google/Meta ecosystems. I kinda see parallels to the $GOOGL TPU effect on suppliers like $LITE or Mediatek, but for robotics... like Agility. Still early though.
- Looks like there's a high power cylindrical cell / BBU cell shortage (aka: bottleneck): - Samsung SDI supplies the cells to Simplo, which assembles them into BBUs for $META to $AMZN. - As demand from data centers has increased, production of Samsung SDI's cylindrical cells has also risen sharply. - Industry sources said Panasonic, Samsung are experiencing supply shortages for BBU cells. So main beneficiaries imo look like: - Samsung SDI (KRX: 006400) / Panasonic Energy as cleaneset winners - Murata (6981) / this keeps showing up everywhere with MLCC and others lol - LG Energy (KRX: 373220) / incoming There's not really much direct US players? But adjacent read through like $VRT, $ETN or $BWA / $ENS. Not quite in my domain emphasis cup of tea though. I wouldn't conflate this as all shortages having a massive TAM, but there could be opportunities...
- @fivepointscap Yep, $SE $MELI $JD $AMZN and the other e-commerce giants are the most obvious beneficiary of physical AI push that I can think of Given they can optimizing opex immediately with robotics. Names like $META are kinda less clear.
- What's this PTSD about SPACs? I only care about the company fundamentals. $NVDA, Softbank, $AMZN and others don't just back some random crapco. And Foxconn is funding the PIPE. It's just for faster listing, especially giving US investors alternatives to the extremely anticipated up Unitree IPO coming out around the same timeframe.
- Agility Robotics is literally the #1 humanoid player in the US in terms of commercialization today imo. Personal Rankings: 1. Agility Robotics via $CCXI 2. $TSLA Optimus ($1T+ company) 3. Figure at $39B from 2025, likely higher now. With Tesla likely taking the lead a year from now. So at $16, you have a ~$4B MC pre-money humanoid player. Which is already inside $AMZN and $MELI (ideal use cases to start out, before step-functioning to general-use), with $AMZN, $NVDA, Softbank, Foxconn, and others as investors. NFA, but at those valuations... there's direct exposure for the first ever humanoid player today, that's likely further ahead than Figure for commercialization. No hard feelings about Robostrategy, but it's over 4x+ NAV: Which would value Figure at $156B... While there's the #1 commercialized humanoid player with Agility at $4B today. So my personal preference is $CCXI.
- Just a random thought, leading US humanoid players strangely me of the current LLM dynamics: Agility ( $CCXI ) kinda feels like Anthropic for robotics. With $AMZN and $NVDA heavily backing it, ingrained with $GOOGL Deepmind (like TPUs). And it starts off with enterprise commercialization. Optimus is kinda off doing its own thing like xAI. Supported by Tesla/Elon and his visionary roadmap as usual. Figure is like ChatGPT With Microsoft/OpenAI investing (kinda like Microsoft), then ended up kinda competing them by building their own VlA and setting them behind. But ends up top 2 leaders anyway. Boston Dynamics is Gemini Kinda started the entire humanoids thing like transformers with backflip videos. With R&D supported by $GOOGL but somehow let everyone else leapfrog them in commercialization. And then there’s $NVDA just chilling, silently powering the entire humanoids ecosystem.
- Yep! Agility Robotics is currently my favorite humanoid/robotics position. They're set to be listed on NASDAQ via $CCXI as early as September (per Digitimes). Just for informational purposes: Their V4 humanoid robot is already operating in sites like Amazon. And have V5 slated for mass production next year (they have a 10,000+ /year capacity). Investors include Foxconn, $NVDA, $AMZN, Softbank, and now Serenity. I've been personally waiting for humanoid exposure for awhile (Agility is set to be the first US pure-play listed one) to the point I was actually planning on investing in Unitree's IPO. But I'm glad now I personally have a compelling alternative now since I prefer to invest capital to build up Made in America supply chains (75% of their components are US-sourced from investor desks). There are risks assigned to SPACs such as listing delays, or cancellation. But excited to see what happens next with developments. I do hope this encourages other frontier companies to go public early on.
- $GM cuts 1,000 workers and replaces them with 50 robots (Jun 22nd report) Reports also show GM is working on a deal with $NVDA on factory robotics. This is industry validation for robotics, since it likely demonstrates increased opex margins + efficiency from employee automation. Especially from companies like $AMZN to General Motors with assembly/warehouse lines that have high headcount. I think the technology is already here and use cases are already proven. Robotics/Humanoids are just pre-scale right now. The wording from large companies is “assistive robotics”… But in all honesty, it’s here to automate away the human workforce and increase profitability. I don’t think companies want to be paying insurance, salaries, etc. when robots can do a better job, and 24/7, so very sad to see potential job losses in the future from robotics automation. Whether people like it or not; seems like the inflection point for robotics is here.
- Robotics is next. Both deal count and investment amounts are skyrocketing per pitchbook March data (source: a16z) Good thing is: the same AI DC exposure often has cross-exposure to humanoid ramp. Like DRAM/NAND with memory (on humanoid inference/storage) or DFB lasers with photonics (FMCW LiDAR vision/sensing). Right now most exposure is upstream component parts… or programs within large players like $AMZN or $TSLA. So global IPO season H2 into 2027 for pure play humanoids/robotics companies is going to be fun.
- Fun new information discovery from Poet OSINT community: Seems likely that $POET / $SIVE are going to power a Top-3 hyperscaler (either Amazon, Microsoft, Google). Given a Linkedin update from Ankur Singla (CEO of Lumilens). Who stated their customer is one of the top 3 hyperscalers with their post focusing on CPO/NPO. With that clue, seems more likely the Sivers CW DFB light source path over other EML suppliers given it's CPO Scale Out/NPO. If you don't remember, Sivers is the laser supplier to Poet. And Poet has purchase agreements with Lumilens. Always fun to find major potential breadcrumbs in the wild before they're officially confirmed. (Disclosure, long Sive)
- Don’t quite think “siphoned off” is the correct term. It’s capex for massive revenue increase or margin increase down the line. $AMZN is probably my favorite hyperscaler right now and example to give. Amazon’s headcount is absurd, like ~1.57M. If the capex goes into automating their workforce with LLMs. Then transitioning into physical AI: - things from self driving (deliveries) - robotics (Amazon warehouses, shipping automation). + revenue increase from building out AWS compute with Trainium and possibly selling chips too with the Neocloud strat. It’s probably the clearest path forward compared to every hyperscaler out there. $TSLA optimus use case targets is extremely broad as a pitch, but Amazon already has a specific reason to scale robotics for internal opex optimization. As for $GOOGL, probably 2nd right now, AI capex was necessary for defending its Google Search moat Gemini from ChatGPT They also have Google Cloud revenue with efficient TPUs + can sell TPUs like Nvidia GPUs. Gemini user volumes keep going up (despite the lack of contention in frontier benchmarks); and AI strategy to be working for ad optimization too. But there’s less clear paths with physical AI stuff ig? Microsoft and Meta are still trying to convince the market why capex is necessary, (we’re kinda seeing that in effect with Meta’s 30%+ Y/Y revenue growth), but doesn’t look like they’re convinced. As for market narratives, Microsoft Maia seems to be behind, their AI development was stunted from OpenAi investments, so sentiment is kinda in the ground. But think that will change down the road like the 180 with Google. I’m sure all the hyperscalers are seeing the leader effect right now: If you have the leading LLM, people will keep using it. That LLM gets smarter from all the training data; and that gap might be structural. Which is why everyone is kinda rushing the buildout right now, but for some the immediate incentives seem obvious.
- Trendforce reports that $AMD is actively trying to secure CW laser supply with multiple major procurement orders... Is probably just the start of the bottleneck? There's not much independent capacity in Western supply chains left other than $SIVE or $AAOI and maybe Macom. Especially after Lumentum/Coherent got locked up with multi-year agreements with Nvidia. (disclosure, own Sive and aaoi) Lumentum is already CW laser constrained and is likely buying off Japanese companies like Sumitomo/Furukawa if I had to guess per ER, and those are probably running at max capacity. From the Trendforce report, this is: "to ensure that its future capacity will not be constrained by NVIDIA and other major Cloud Service Providers (CSPs)." I wouldn't be surprised if other hyperscalers like Amazon, Microsoft, and others saw Nvidia / AMD signing LTAs, and are trying to secure capacity next. A lot of it is game theory on not getting choked out by competitors, and looks like AMD is tipping the first domino after Nvidia. But my opinion is that this just goes and show how invaluable this CW laser chokepoint is and the companies are inside it.
- Other way around, $NVDA bottlenecked the entire industry for EML capacity. And did the same with CW capacity ONCE AGAIN with $LITE, $COHR, and $MRVL (if they have LTA in place with Celestial) I said this a few months ago, we'd see this exact same playbook. But $AMD, $AMZN, $META, and others are just so stupidly slow that they let themselves get bottlenecked. Now there's only a few merchant players like $AAOI, $MTSI, and $SIVE that they all need to fight over.
- hmm, i prefer all your upstream chokepoints over $NVDA long term since those will be re-rated the most (nvidia already largest company in the world) pretty sure hyperscaler ASICs would eventually siphon off $NVDA demand like $GOOGL TPU, $AMZN trainium programs. wouldn't be too positive for expontentially compounding revenue growth since hyperscalers were Nvidia's original main revenue stream (even indirect via Neoclouds). But $NVDA's kinda stalling everyone elses buildout by bottlenecking their programs eg. EML/laser capacity agreements years out too. And took stakes in $MRVL / $LITE / $COHR / $INTC etc. making them adopt to $NVDA standards or just owning a large %. So even if they're delaying other programs + their biggest growth vector kinda falls off one day, like how things are shifting already shifting to ASICs for inference. They'll still probably be fine given ownership stakes + will serve companies/countries outside of hyperscaler cash cows (just less revenue)+ made so much before then. But that's probably why p/e keeps going down despite revenues going up, since idk if markets thinks that growth will last forever. Or could be totally wrong and they just keep leapfrogging generation by generation + AI pie keeps growing with Jensen's 4T 2030 capex number.
- Yeah… I think all your upstream semi supply chain companies are going much higher. Goldman now expects a combined $5.3 trillion of capex spending for the four largest hyperscalers $GOOGL / $META / MSFT / $AMZN from 2025 to 2030. Revised up from $4.5T from Q1 earnings. “Aggregate capex est. $7.6 trillion between 2026 and 2031.” And it flows upward to these tiny chokepoints like $SIVE for CPO lasers/ $SOI for Silicon Photonics substrates. Leaderdrive/Harmonic for Humanoids components. And so on… Ai names don’t move in a straight line up, but is just the beginning of the next Industrial Revolution as we move from R&D/compute buildout into commercialization from Agents -> Physical AI -> discovery.
- Ayar’s announcement today with Wiwynn is potentially very material for $SIVE regarding CPO -> rack scale deployments. As Wiwynn cloud clients include $AMZN, $META, $MSFT. And they’ve been in talks for $GOOGL TPU deployments. I think just for some reference architectures it’s around 512+ supernova light sourc a rack. So if $SIVE is the primary laser array supplier (which we expect, given Macom + Lumentum was removed from Ayar’s site). Even modest rack deployments would be very meaningful for revenue. This is just rack scale commercialization potential right now from $SIVE / Ayar / Wiwynn, which won’t show up in revenue financials yet.
- $MRVL earnings were a bullish indicator on the broader CPO theme (and $SIVE as the likely laser supplier). - “Scale-up interconnect represents one of the newest and most strategically important opportunities emerging in AI infrastructure.” CPO thematically go brrr - Confirmation Celestial was selected by T1 hyperscaler for scale up. I’ve found Celestial $AMZN warrants in the past)… so probably Amazon. - Scale-up optics revenue next year should be more than 2x prior ~$150M outlook with Celestial Forward revenue ramp expectations go brrr. - Celestial team plus $MRVL optics team was a “home run”. Marvell sees celestial as growth vector, upstream celestial suppliers go brr - $MRVL is now focused on bringing Celestial to high volume manufacturing. Volume ramp indicator If you don’t recall, there was OSINT mapping $SIVE directly to Celestial, not through $POET. So Celestial forward growth is a volume ramp indicator for Sivers lasers.
Ongoing takes on other optical names too
Beyond AMZN, his viewpoint library also covers: